5 citations · 5 across the 8 of their papers we have counts for
5 papers · 1 filter
Conditional predictive inference with -coverage control
Yonghoon Lee, Zhimei Ren
We consider the problem of distribution-free conditional predictive inference. Prior work has established that achieving exact finite-sample control of conditional coverage without…
One-at-a-time knockoffs: controlled false discovery rate with higher power
Charlie K. Guan, Zhimei Ren, Daniel W. Apley
We propose one-at-a-time knockoffs (OATK), a new methodology for detecting important explanatory variables in linear regression models while controlling the false discovery rate (F…
Full-conformal novelty detection
Junu Lee, Ilia Popov, Zhimei Ren
This paper presents a powerful methodology for flexible full-data nonparametric novelty detection that offers distribution-free false discovery rate (FDR) control guarantees. Build…
Boosting e-BH via conditional calibration
Junu Lee, Zhimei Ren
The e-BH procedure is an e-value-based multiple testing procedure that provably controls the false discovery rate (FDR) under any dependence structure between the e-values. Despite…
Not all distributional shifts are equal: Fine-grained robust conformal inference
Jiahao Ai, Zhimei Ren
We introduce a fine-grained framework for uncertainty quantification of predictive models under distributional shifts. This framework distinguishes the shift in covariate distribut…